Asif Rahman

40 total papers · 851 total citations
22 papers, 529 citations indexed

About

Asif Rahman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Asif Rahman has authored 22 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Asif Rahman's work include EEG and Brain-Computer Interfaces (3 papers), ECG Monitoring and Analysis (3 papers) and Machine Learning in Healthcare (2 papers). Asif Rahman is often cited by papers focused on EEG and Brain-Computer Interfaces (3 papers), ECG Monitoring and Analysis (3 papers) and Machine Learning in Healthcare (2 papers). Asif Rahman collaborates with scholars based in United States, Bangladesh and Saudi Arabia. Asif Rahman's co-authors include Saman Parvaneh, Bryan Conroy, Cristhian Potes, Jonathan Rubin, Saeed Babaeizadeh, Yale Chang, Sara Mariani, Annamalai Natarajan, Gregory Boverman and Shruti G. Vij and has published in prestigious journals such as Scientific Reports, IEEE Access and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Asif Rahman

20 papers receiving 509 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Asif Rahman	277	219	145	62	53	22	529
Huan Zhang	235 0.8×	146 0.7×	107 0.7×	18 0.3×	78 1.5×	42	599
Antti Koski	134 0.5×	43 0.2×	57 0.4×	92 1.5×	83 1.6×	15	465
S.N. Tandon	312 1.1×	63 0.3×	173 1.2×	61 1.0×	215 4.1×	13	581
Xinyi Zhang	166 0.6×	37 0.2×	120 0.8×	19 0.3×	61 1.2×	41	538
F. Clariá	173 0.6×	40 0.2×	113 0.8×	55 0.9×	79 1.5×	36	455
Weiyi Yang	330 1.2×	62 0.3×	242 1.7×	37 0.6×	127 2.4×	33	504
Changchun Liu	352 1.3×	147 0.7×	150 1.0×	29 0.5×	182 3.4×	36	607
Peng Lu	167 0.6×	40 0.2×	113 0.8×	13 0.2×	47 0.9×	28	578
Mehmet Korürek	317 1.1×	62 0.3×	252 1.7×	85 1.4×	113 2.1×	31	520
Arup Ray	195 0.7×	51 0.2×	171 1.2×	32 0.5×	106 2.0×	25	461

Countries citing papers authored by Asif Rahman

Since Specialization

Citations

This map shows the geographic impact of Asif Rahman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Asif Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asif Rahman more than expected).

Fields of papers citing papers by Asif Rahman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Asif Rahman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Asif Rahman. The network helps show where Asif Rahman may publish in the future.

Co-authorship network of co-authors of Asif Rahman

This figure shows the co-authorship network connecting the top 25 collaborators of Asif Rahman. A scholar is included among the top collaborators of Asif Rahman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Asif Rahman. Asif Rahman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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